Update README.md

Author: VishalMewadaPackt

README.md

@@ -1,7 +1,7 @@
 # TensorFlow Machine Learning Cookbook
 This is the code repository for [TensorFlow Machine Learning Cookbook](https://www.packtpub.com/big-data-and-business-intelligence/tensorflow-machine-learning-cookbook?utm_source=github&utm_medium=repository&utm_content=9781786462169), published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.
 
-# About the book
+## About the book
 TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and will let you dig deeper and gain more insights into your data than ever before. You’ll work through recipes on training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and deep learning – each using Google’s machine learning library TensorFlow.
 
 This guide starts with the fundamentals of the TensorFlow library which includes variables, matrices, and various data sources. Moving ahead, you will get hands-on experience with Linear Regression techniques with TensorFlow. The next chapters cover important high-level concepts such as neural networks, CNN, RNN, and NLP.
@@ -20,7 +20,7 @@ The code will look like the following:
          from tensorflow.python.framework import ops
          ops.reset_default_graph()
 
-# Software requirements:
+### Software requirements:
 Python 3, with the following installed Python libraries: TensorFlow, Numpy, 
 Scikit-Learn, Requests, and Jupyter. It is compatible in all three major operating 
 systems, Mac, Windows, and Linux. It requires no special hardware to run the